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    Optimal verification strategy for general development plans using a belief‐based approach

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    Optimal_Verification_Strategy .pdf
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    11.88Mb
    Format:
    PDF
    Description:
    Final Accepted Manuscript
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    Author
    Kulkarni, Aditya U.
    Girod, Ashley
    Xu, Peng
    Salado, Alejandro
    Affiliation
    Department of Systems and Industrial Engineering, The University of Arizona
    Issue Date
    2023-07-02
    Keywords
    belief distributions
    incentives
    multi-firm
    verification
    
    Metadata
    Show full item record
    Publisher
    Wiley
    Citation
    Kulkarni AU, Girod A, Xu P, Salado A. Optimal verification strategy for general development plans using a belief-based approach. Systems Engineering. 2024; 27: 74–98. https://doi.org/10.1002/sys.21708
    Journal
    Systems Engineering
    Rights
    © 2023 Wiley Periodicals LLC.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    Verification activities are intended to reduce the costs of system development by identifying design errors before deploying the system. However, subcontractors in multi-firm projects are motivated to implement locally cost-effective verification strategies over verification strategies that benefit the main contractor. Incentivizing verification activities is one mechanism by which the contractor can motivate subcontractors to implement verification strategies desirable to the contractor. In this paper, we present a belief-based modeling concept for determining optimal verification strategies for general development plans. The results show that the optimal incentives are a function of the subordinate firm's beliefs and the influence exerted by the subordinate firm on the supervising firm with respect to verification activities.
    Note
    12 month embargo; first published 02 July 2023
    ISSN
    1098-1241
    EISSN
    1520-6858
    DOI
    10.1002/sys.21708
    Version
    Final accepted manuscript
    Sponsors
    National Science Foundation
    ae974a485f413a2113503eed53cd6c53
    10.1002/sys.21708
    Scopus Count
    Collections
    UA Faculty Publications

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